数据科学家和软件工程师之间的区别

1. 数据科学家：
数据科学家是专业的分析数据专家，具有解决复杂问题的技术能力，并能找到发现真正需要解决的问题的方法。他们负责收集数据、检查数据，并为大量数据提供解释，以发现不同的方法来协助和改进运营，从而获得超越竞争对手的竞争优势。

他们通过处理记录的历史来解释正在发生的事情，并且他们还使用一系列高级机器学习算法来发现未来事件的流行程度，这有助于利用这种预测性因果分析和规范分析来进行选择和预测，以增强商业企业和运营。对于这个过程，数据科学家似乎必须从多个角度研究信息。

2. 软件工程师：
软件工程师是具有专业知识并将严格的、结构化的软件工程标准应用于所有阶段的人——软件程序的设计、开发、测试、维护和评估，这将避免软件程序产品的低质量。

数据科学家和软件工程师之间的区别：

S.No.	Data Scientist	Software Engineer
1.	They analyze and manage large amounts of data that are coming from different areas by suggesting solution for them.	They understand needs and requirements of their clients and deliver product without errors to end-users.
2.	They follow similar approach to ETL process.	The base for Software engineers for developing any software is SDLC or Software Development Lifecycle.
3.	They follow Process Oriented approach to deal with data.	They deal with Framework Oriented or methodology Oriented approach to make software products.
4.	For dealing with data, they use various tools like Data visualization tools, Data Analysis tools and DB tools, etc.	They use different tools in making software such as Testing Tools, Design Tools, Programming Languages Tools, Project Management tools, Web application Tools, etc.
5.	Big data, Hadoop, Map Reduce, Apache spark, are main environment for them to analyze data.	They need different environments and platforms for building software products such as Code development environment, Developing Programming, Testing & Maintenance environment.
6.	They need to analyze data for processing tasks.	They need to analyze user needs and requirements.
7.	The sources of data for them including data from websites, data from Social Media, Transactions, Sensor Data, etc.	Their sources of data including understanding and collecting data from their clients, User requirements, any new features developments.